The construction industry stands at the threshold of a profound transformation driven by advances in artificial intelligence. AI, Generative AI and AI Agents for Construction Industry is crafted to guide readers through this evolution, offering a structured exploration of how intelligent technologies are reshaping planning, design, execution, and operations. Beginning with the fundamentals of the construction ecosystem and core AI concepts, the book builds a strong foundation for understanding how data, algorithms, and digital systems can address long-standing challenges such as cost overruns, schedule delays, and fragmented workflows. As the chapters progress, the book delves into practical and high-impact applications of AI across the construction lifecycle. Readers will gain insights into data engineering and analytics that power decision-making, predictive AI models that optimize planning and site operations, and generative AI tools that revolutionize design, documentation, and interdisciplinary collaboration. The introduction of AI agents further expands the horizon, demonstrating how autonomous and semi-autonomous systems can orchestrate end-to-end construction workflows, improve productivity, and enable smarter project delivery in increasingly complex environments. Equally important, this book underscores the critical role of trust, safety, compliance, and digital governance in deploying AI within construction settings. It addresses the ethical and operational considerations necessary to ensure reliable and responsible adoption of these technologies. The inclusion of capstone, research, and industry projects provides readers with opportunities to apply their knowledge to real-world challenges, fostering both innovation and practical readiness. By bridging theory with application, this book aims to equip professionals, students, and leaders with the skills and perspective needed to shape the future of a smarter, safer, and more efficient construction industry.
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